Trajectory of beta cell function and insulin clearance in stage 2 type 1 diabetes: natural history and response to teplizumab.

IF 8.4 1区 医学 Q1 ENDOCRINOLOGY & METABOLISM Diabetologia Pub Date : 2024-11-19 DOI:10.1007/s00125-024-06323-0
Alfonso Galderisi, Emily K Sims, Carmella Evans-Molina, Alessandra Petrelli, David Cuthbertson, Brandon M Nathan, Heba M Ismail, Kevan C Herold, Antoinette Moran
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Abstract

Aims/hypothesis: We aimed to analyse TrialNet Anti-CD3 Prevention (TN10) data using oral minimal model (OMM)-derived indices to characterise the natural history of stage 2 type 1 diabetes in placebo-treated individuals, to describe early metabolic responses to teplizumab and to explore the predictive capacity of OMM measures for disease-free survival rate.

Methods: OMM-estimated insulin secretion, sensitivity and clearance and the disposition index were evaluated at baseline and at 3, 6 and 12 months post randomisation in placebo- and teplizumab-treated groups, and, within each group, in slow- and rapid-progressors (time to stage 3 disease >2 or 2 years). OMM metrics were also compared with the standard AUC C-peptide. Percentage changes in CD8+ T memory cell and programmed death-1 (PD-1) expression were evaluated in each group.

Results: Baseline metabolic characteristics were similar between 28 placebo- and 39 teplizumab-treated participants. Over 12 months, insulin secretion declined in placebo-treated and rose in teplizumab-treated participants. Within groups, placebo slow-progressors (n=14) maintained insulin secretion and sensitivity, while both declined in placebo rapid-progressors (n=14). Teplizumab slow-progressors (n=28) maintained elevated insulin secretion, while teplizumab rapid-progressors (n=11) experienced mild metabolic decline. Compared with rapid-progressor groups, insulin clearance significantly decreased between baseline and 3, 6 and 12 months in the slow-progressor groups in both treatment arms. In aggregate, both higher baseline insulin secretion (p=0.027) and reduced 12 month insulin clearance (p=0.045) predicted slower progression. A >25% loss of insulin secretion at 3 months had specificity of 0.95 (95% CI 0.86, 1.00) to identify rapid-progressors and correctly classified the 2 year risk for progression in 92% of participants, with a sensitivity of 0.19 (95% CI 0.08, 0.30). OMM-estimated insulin secretion outperformed AUC C-peptide to differentiate groups by treatment or to predict progression. Metabolic changes were paralleled by relative frequency of change in PD-1+ CD8+ T effector memory cells.

Conclusions/interpretation: OMM measures characterise the metabolic heterogeneity in stage 2 diabetes, identifying differences between rapid- and slow-progressors, and heterogeneous impacts of immunotherapy, suggesting the need to account for these differences when designing and interpreting clinical trials.

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1型糖尿病2期患者β细胞功能和胰岛素清除率的轨迹:自然史和对替普利珠单抗的反应。
目的/假设:我们旨在使用口服最小模型(OMM)得出的指数分析TrialNet抗CD3预防(TN10)数据,以描述安慰剂治疗个体的2期1型糖尿病自然病史,描述对替普利珠单抗的早期代谢反应,并探索OMM指标对无病生存率的预测能力:方法: 对安慰剂组和替普利珠单抗治疗组的基线、随机化后3、6和12个月的OMM估计胰岛素分泌量、敏感性和清除率以及处置指数进行评估,并在每组中对缓慢进展者和快速进展者(疾病3期时间大于2年或小于2年)进行评估。OMM 指标还与标准 AUC C 肽进行了比较。评估了各组 CD8+ T 记忆细胞和程序性死亡-1(PD-1)表达的百分比变化:结果:28 名安慰剂治疗者和 39 名替普利珠单抗治疗者的基线代谢特征相似。在12个月内,安慰剂治疗组的胰岛素分泌下降,而替普利珠单抗治疗组的胰岛素分泌上升。在各组中,安慰剂慢进展者(14 人)保持了胰岛素分泌和敏感性,而安慰剂快进展者(14 人)的胰岛素分泌和敏感性均有所下降。替普利珠单抗缓慢进展组(28 人)保持了胰岛素分泌的升高,而替普利珠单抗快速进展组(11 人)则出现了轻微的代谢下降。与快速进展组相比,在两个治疗组中,缓慢进展组的胰岛素清除率在基线与 3、6 和 12 个月之间显著下降。总体而言,基线胰岛素分泌较高(p=0.027)和 12 个月胰岛素清除率降低(p=0.045)都预示着病情进展较慢。3 个月时胰岛素分泌量下降 >25% 的特异性为 0.95 (95% CI 0.86, 1.00),可识别快速进展者,并能正确划分 92% 参与者的 2 年进展风险,灵敏度为 0.19 (95% CI 0.08, 0.30)。在按治疗方法区分组别或预测病情进展方面,OMM 估算的胰岛素分泌量优于 AUC C 肽。代谢变化与 PD-1+ CD8+ T 效应记忆细胞的相对变化频率同步:OMM测量表征了2期糖尿病的代谢异质性,确定了快速进展者和缓慢进展者之间的差异,以及免疫疗法的异质性影响,表明在设计和解释临床试验时需要考虑这些差异。
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来源期刊
Diabetologia
Diabetologia 医学-内分泌学与代谢
CiteScore
18.10
自引率
2.40%
发文量
193
审稿时长
1 months
期刊介绍: Diabetologia, the authoritative journal dedicated to diabetes research, holds high visibility through society membership, libraries, and social media. As the official journal of the European Association for the Study of Diabetes, it is ranked in the top quartile of the 2019 JCR Impact Factors in the Endocrinology & Metabolism category. The journal boasts dedicated and expert editorial teams committed to supporting authors throughout the peer review process.
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